Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

1 code implementation • 21 Jan 2013 • Adrien Baranes, Pierre-Yves Oudeyer

The architecture makes the robot sample actively novel parameterized tasks in the task space, based on a measure of competence progress, each of which triggers low-level goal-directed learning of the motor policy pa- rameters that allow to solve it.

Active Learning